surrogate model

Advanced Black-Box Tuning of Large Language Models with Limited API Calls AAAI 2026 AeroAgent: A Vision-Physics-Decision Framework for Aerodynamic Vehicle Design CVPR 2026 Beyond Grid Search: Leveraging Bayesian Optimization for Accelerating RAG Pipeline Optimization EACL 2026 Bound to Disagree: Generalization Bounds via Certifiable Surrogates UAI 2026 Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO2 Storage AAAI 2026 DABO: Difficulty-Aware Bayesian Optimization with Diffusion-Learned Priors CVPR 2026 Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-Driven Adaptive Experimental Design AAAI 2026 Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems L4DC 2026 Making Sense of LLM Decisions: A Prototype-based Framework for Explainable Classification AAAI 2026 Next Generation of Empirical Performance Prediction AAAI 2026 Query-Efficient Domain Knowledge Stealing Against Large Language Models AAAI 2026 RaPA: Enhancing Transferable Targeted Attacks via Random Parameter Pruning CVPR 2026 Stealing Split Learning Bottom Models by Recovering Embedding Geometry CVPR 2026 Active Learning for Neural PDE Solvers ICLR 2025 Active Learning with Selective Time-Step Acquisition for PDEs ICML 2025 Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks AAAI 2025 ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model AAAI 2025 Ax: A Platform for Adaptive Experimentation AutoML 2025 B2Opt: Learning to Optimize Black-box Optimization with Little Budget AAAI 2025 Bayesian Optimization via Continual Variational Last Layer Training ICLR 2025 CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization AAAI 2025 Constrained Offline Black-Box Optimization via Risk Evaluation and Management AAAI 2025 Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems JMLR 2025 Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability AAAI 2025 Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models AAAI 2025